Keypoint-Augmented Self-Supervised Learning for Medical Image
Segmentation with Limited Annotation

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

2 October 2023

Zhangsihao Yang

Guido Gerig

Yalin Wang

Papers citing "Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation"

7 / 7 papers shown

Title
Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ Segmentation Yuran Wang Zhijing Wan Yansheng Qiu Zheng Wang DiffM MedIm 29 0 0 30 Sep 2024
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging Lingdong Shen Fangxin Shang Xiaoshuang Huang Yehui Yang Haifeng Huang Shiming Xiang VLM 37 3 0 25 Mar 2024
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 218 1,355 0 24 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank Inigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo SSL CLL 124 203 0 27 Apr 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017